Commonsense knowledge is vital to many natural language processing tasks. In this paper,
we present a novel open-domain conversation generation model to demonstrate how large …

End-to-end neural models for intelligent dialogue systems suffer from the problem of
generating uninformative responses. Various methods were proposed to generate more …

Human conversations naturally evolve around related concepts and scatter to multi-hop
concepts. This paper presents a new conversation generation model, ConceptFlow, which …

Retrieval-based dialogue systems display an outstanding performance when pre-trained
language models are used, which includes bidirectional encoder representations from …

摘要人机对话系统能够让机器通过人类语言与人进行交互, 是人工智能领域的一项重要工作.
因其在虚拟助手和社交聊天机器人等领域的商业价值而广受工业界和学术界的关注. 近年来 …

In this paper, we study the task of selecting the optimal response given a user and system
utterance history in retrieval-based multi-turn dialog systems. Recently, pre-trained …

The dense network of interconnected cellular signalling responses that are quantifiable in
peripheral immune cells provides a wealth of actionable immunological insights. Although …

Sentiment analysis for user reviews has received substantial heed in recent years. There are
many deep learning models for natural language processing (NLP) applications. Long-short …

On the shoulders of textual dialog systems, the multimodal ones, recently have engaged
increasing attention, especially in the retail domain. Despite the commercial value of …

We study the problem of response selection for multi-turn conversation in retrieval-based
chatbots. The task involves matching a response candidate with a conversation context, the …